ISSN: 2222-6990
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The aim of this study is to evaluate the financial performance of consumer companies in Malaysia using the TOPSIS method, a multi-criteria decision-making approach. Financial data for 13 companies in 2022 were obtained from DataStream. While traditional ratio analysis has been commonly used to assess financial performance over the years, some studies suggest that it may not provide a comprehensive measurement. Therefore, this research employs the TOPSIS method to obtain a more comprehensive result. The TOPSIS approach involves seven steps and utilizes important financial ratios such as Current Ratio, Dividend Yield, Earnings per Share (EPS), Net Profit Margin, Debt Ratio, and Return on Equity (ROE) as criteria for evaluating the financial performance of the companies. The study ranks the 13 consumer companies in Malaysia and provides investment recommendations to investors, aiming to maximize their investment benefits. The findings of this research hold significant value for investors, companies, market participants, and both public and private policymakers, as they can enhance their investment decision-making based on these results.
Abd Rahim, Z. H., Abdullah Fahami, N., Azhar, F. W., Abd Karim, H., & Abdul Rahim, S. K. N. (2020). Application of TOPSIS Analysis Method in Financial Performance Evaluation: A Case Study of Construction Sector in Malaysia. Advances in Business Research International Journal, 6(1), 11. https://doi.org/10.24191/abrij.v6i1.9934
Almoghathawi, Y., Barker, K., Rocco, C. M., & Nicholson, C. D. (2017). A multi-criteria decision analysis approach for importance identification and ranking of network components. Reliability Engineering & System Safety, 158, 142–151.
https://doi.org/10.1016/J.RESS.2016.10.007
Azhar, F. W., Abd Rahim, Z. H., Fahami, N. A., Abdul Rahim, S. K. N., & Karim, H. A. (2022). Investing in Malaysian healthcare using technique for order preference by similarity to ideal solution. Indonesian Journal of Electrical Engineering and Computer Science, 25(3), 1723–1730. https://doi.org/10.11591/ijeecs.v25.i3.pp1723-1730
Balc?, N. (2017). Financial Performance Analysis With Topsis Technique: a Case Study of Public University Hospitals in Turkey. Yönetim ve Ekonomi Ara?t?rmalar? Dergisi, February, 155–176. https://doi.org/10.11611/yead.373456
Behzadian, M., Otaghsara, K. S., Yazdani, M., & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051–13069. https://doi.org/10.1016/J.ESWA.2012.05.056
Chen, N., Chen, L., Ma, Y., & Chen, A. (2019). Regional disaster risk assessment of china based on self-organizing map: Clustering, visualization and ranking. International Journal of Disaster Risk Reduction, 33, 196–206. https://doi.org/10.1016/J.IJDRR.2018.10.005
Deng, H., Yeh, C. H., & Willis, R. J. (2000). Inter-company comparison using modified TOPSIS with objective weights. Computers & Operations Research, 27(10), 963–973. https://doi.org/10.1016/S0305-0548(99)00069-6
Fahami, N. A., Azhar, F. W., Abd Rahim, Z. H., Karim, H. A., & Abdul Rahim, Z. S. K. N. (2019). Application of technique for order preference by similarity to ideal solution multi-criteria decision-making method for financial performance evaluation: A case study of services sector in Malaysia. Journal of Computational and Theoretical Nanoscience, 16(12), 4965–4969. https://doi.org/10.1166/jctn.2019.8549
Fahami, N. A., Halwani, Z., Rahim, A., Azhar, F. W., & Karim, H. A. (2015). Fuzzy Logic Application in Evaluating Financial Performance?: a Case Study of Services Sector in Malaysia. Australian Journal of Business and Economic Studies, 1(1), 69–73.
Feng, C. M., & Wang, R. T. (2000). Performance evaluation for airlines including the consideration of financial ratios. Journal of Air Transport Management, 6(3), 133–142. https://doi.org/10.1016/S0969-6997(00)00003-X
Ferreira, L., Borenstein, D., & Santi, E. (2016). Hybrid fuzzy MADM ranking procedure for better alternative discrimination. Engineering Applications of Artificial Intelligence, 50, 71–82. https://doi.org/10.1016/J.ENGAPPAI.2015.12.012
Hamdan, A., Khamis, R., Anasweh, M., Al-Hashimi, M., & Razzaque, A. (2019). IT Governance and Firm Performance: Empirical Study From Saudi Arabia. SAGE Open, 9(2). https://doi.org/10.1177/2158244019843721
Hoe, L. W., Beng, Y. H., Siew, L. W., & Wai, C. J. (2018). Analysis on the performance of technology companies with Z-score model. Bulletin of Electrical Engineering and Informatics, 7(4), 633–639. https://doi.org/10.11591/eei.v7i4.1353
Hoe, L. W., Siew, L. W., & Fai, L. K. (2019). Performance analysis on telecommunication companies in Malaysia with TOPSIS model. Indonesian Journal of Electrical Engineering and Computer Science, 13(2), 744–751. https://doi.org/10.11591/ijeecs.v13.i2.pp744-751
Hoe, L. W., Siew, L. W., Fai, L. K., Xin, A. L. J., & Fun, L. P. (2020). An empirical evaluation on the performance of food service industry in Malaysia with TOPSIS model. Journal of Physics: Conference Series, 1706(1). https://doi.org/10.1088/1742-6596/1706/1/012172
Hussain, J., Zhou, K., Guo, S., & Khan, A. (2020). Investment risk and natural resource potential in “Belt & Road Initiative” countries: A multi-criteria decision-making approach. Science of The Total Environment, 723, 137981.
https://doi.org/10.1016/J.SCITOTENV.2020.137981
Hwang, C.-L., & Yoon, K. (1981). Basic Concepts and Foundations. 16–57. https://doi.org/10.1007/978-3-642-48318-9_2
Jupri, M., & Sarno, R. (2019). Data mining, fuzzy AHP and TOPSIS for optimizing taxpayer supervision. Indonesian Journal of Electrical Engineering and Computer Science, 18(1), 75–87. https://doi.org/10.11591/ijeecs.v18.i1.pp75-87
Mandic, K., Delibasic, B., Knezevic, S., & Benkovic, S. (2014). Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods. Economic Modelling, 43, 30–37.
https://doi.org/10.1016/J.ECONMOD.2014.07.036
Raed, K. (2020). Dividend Policy and Companies” Financial Performance. Journal of Asian Finance, Economics and Business, 7(10), 531–542.
https://doi.org/10.13106/jafeb.2020.vol7.no10.531
Wanke, P., Azad, M. A. K., & Barros, C. P. (2016). Efficiency factors in OECD banks: A ten-year analysis. Expert Systems with Applications, 64, 208–227.
https://doi.org/10.1016/J.ESWA.2016.07.020
Wasara, T. M., & Ganda, F. (2019). The relationship between corporate sustainability disclosure and firm financial performance in Johannesburg Stock Exchange (JSE) listed mining companies. Sustainability (Switzerland), 11(16).
https://doi.org/10.3390/su11164496
Yildiz, S. B. (2020). Performance analysis of Turkey’s participation and conventional indices using TOPSIS method. Journal of Islamic Accounting and Business Research, 11(7), 1403–1416. https://doi.org/10.1108/JIABR-08-2018-0123
(Rahim & Azhar, 2024)
Rahim, Z. H. A., & Azhar, F. W. (2024). Investing in Malaysian Consumer Product Companies Using TOPSIS. International Journal of Academic Research in Business and Social Sciences, 14(1), 2338–2346.
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